2/14
4/9

imports

import pandas as pd
import numpy as np
import sklearn
import pickle 
import time 
import datetime
import warnings
warnings.filterwarnings('ignore')

%run ../functions-auto.py

with open('../fraudTrain.pkl', 'rb') as file:
    fraudTrain = pickle.load(file)

auto_amt_nb3(fraudTrain,10)

	model	time	acc	pre	rec	f1	auc	graph_based	method	throw_rate	train_size	train_cols	train_frate	test_size	test_frate	hyper_params
0	KNeighborsUnif	None	0.875755	0.007702	0.78125	0.015253	0.884682	False	Auto_not_best	0.130637	9009	[amt]	0.50383	25981	0.001232	None
1	KNeighborsDist	None	0.867634	0.007517	0.81250	0.014895	0.880694	False	Auto_not_best	0.130637	9009	[amt]	0.50383	25981	0.001232	None
2	LightGBMXT	None	0.883877	0.008237	0.78125	0.016303	0.923171	False	Auto_not_best	0.130637	9009	[amt]	0.50383	25981	0.001232	None
3	LightGBM	None	0.896732	0.009256	0.78125	0.018295	0.939773	False	Auto_not_best	0.130637	9009	[amt]	0.50383	25981	0.001232	None
4	RandomForestGini	None	0.849698	0.006875	0.84375	0.013640	0.909261	False	Auto_not_best	0.130637	9009	[amt]	0.50383	25981	0.001232	None
5	RandomForestEntr	None	0.849698	0.006875	0.84375	0.013640	0.909261	False	Auto_not_best	0.130637	9009	[amt]	0.50383	25981	0.001232	None
6	CatBoost	None	0.890651	0.008744	0.78125	0.017295	0.930557	False	Auto_not_best	0.130637	9009	[amt]	0.50383	25981	0.001232	None
7	ExtraTreesGini	None	0.857896	0.007004	0.81250	0.013889	0.918836	False	Auto_not_best	0.130637	9009	[amt]	0.50383	25981	0.001232	None
8	ExtraTreesEntr	None	0.855818	0.007166	0.84375	0.014211	0.909375	False	Auto_not_best	0.130637	9009	[amt]	0.50383	25981	0.001232	None
9	NeuralNetFastAI	None	0.965706	0.025414	0.71875	0.049093	0.823335	False	Auto_not_best	0.130637	9009	[amt]	0.50383	25981	0.001232	None
10	XGBoost	None	0.895616	0.009158	0.78125	0.018103	0.940320	False	Auto_not_best	0.130637	9009	[amt]	0.50383	25981	0.001232	None
11	NeuralNetTorch	None	0.883030	0.007856	0.75000	0.015549	0.921634	False	Auto_not_best	0.130637	9009	[amt]	0.50383	25981	0.001232	None
12	LightGBMLarge	None	0.852200	0.006736	0.81250	0.013361	0.939314	False	Auto_not_best	0.130637	9009	[amt]	0.50383	25981	0.001232	None
13	WeightedEnsemble_L2	None	0.883877	0.008237	0.78125	0.016303	0.923171	False	Auto_not_best	0.130637	9009	[amt]	0.50383	25981	0.001232	None